How are residual signals encoded in lossless compression?

Genomic data compression technology from Enancio, now known as DRAGEN ORA (original read archive) compression, offers optimal levels of speed and efficiency, ... Jan 1, 2013 ... ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-Situ Indexing, Storing, and Querying. In: Transactions on Large-Scale Data- ... Aug 17, 2017 ... There is no doubt that data compression is very important in computer engineering. However, most lossless data compression and decompression ... We have proposed a high performance lossless data compression algorithm for stream-based entropy coding, called ASE coding. It is suitable for hardware ... Mar 2, 2018 ... This thesis makes several contributions to the field of data compression. Lossless data com- pression algorithms shorten the description of ... Nov 7, 2023 ... We propose a hardware-accelerated lossless data compression system to reduce traffic storage overhead. Information theory is needed to understand the limits of compression and give clues on how to compress well. Lecture 5 - Statistical Lossless Data Compression. Jan 17, 2025 ... Sharp bounds are derived for the best achievable compression rate of memoryless sources, when the excess-rate probability is required to be exponentially small ... I am an expert in the area of hardware lossless data compression, signal processing with embedded systems (e.g. ARM), video... Keywords: reconfigurable ... Nov 8, 2024 ... The newly developed lossless data compression technology, drawing on Hitachi's expertise in areas such as deep learning models and data storage, ...